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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions
Harmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations to the proper implementation of water safety plans. This work combines automatic high-frequency monitoring (AFHM) systems with machine lea...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360045/ https://www.ncbi.nlm.nih.gov/pubmed/35941263 http://dx.doi.org/10.1038/s41598-022-17299-5 |